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Research Detail

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Md. Shariful Islam
Dept. of Food Technology and Nutritional Science, MawlanaBhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh

Morshada Khatun
Dept. of Food Technology and Nutritional Science, MawlanaBhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh

Kamalesh Chandra Dey
MSc in Public Health, MBA (Health and Hospital Services Management), University of Bedfordshire, United Kingdom.

A cross sectional study was carried out among the selected tribal households of ModhupurUpazilla in Tangail district to evaluate household dietary diversity, food security and hygienic condition. In this study we also assess the nutritional status of the respondents. Among 530 households we purposively selected 98 households for our study. Nutritional status was measured by BMI. In this study all of the 98 respondents were Garo and Koch. Among them 72 respondents were Garo who were Christian and 26 respondents were Koch who were Hindu. Among the respondents 27.6% were male and 72.4% were female. According to BMI nutritional status was normal for 85.7% respondents, underweight for 8.2% respondents and overweight for 6.1% respondents. Around 10.2% respondents were educated at primary level, 26.5% were educated at secondary level, 8.2% were educated at higher secondary level and 2% respondents were educated at Degree/Hon’s level. Around 9.2% households had one earning person, 51% had two earing persons, 36.7% had three earning persons and 3.1% had four earning persons. More than half of the households (68.4%) had agricultural land and 31.6% households did not have any agricultural land. Among the agricultural land containing households 71.4% produced vegetables and 27.6% households did not produce any type of vegetables. 79.6% households produced fruits and 19.4% did not had. Only 22.4% households had pond and majority of the households (77.6%) did not have pond. Among the households who had pond 86.36% households cultivated fish and others (13.64%) did not cultivate in their ponds. Few adults (2%) in the households ate two meals and majority (98%) ate three meals per day. The same result occurred for the children, only 1% children in the households ate two meals and majority (99%) ate three meals per day. All the respondents (100%) ate rice 91% ate seasonal vegetables, 75% ate seasonal green leafy vegetables, 67% ate seasonal fruits, about 27.55%, 53%, 69%, 58%, 32%, 67%, and 82% households ate beef, mutton, poultry, egg, milk, pulses and fish respectively. They also ate pork, frog and crab. 97.96% households ate vitamin-A containing foods. Among 96.94% households ate vitamin-A containing foods from plant sources and 88.78% ate from animal sources. 91.84% households ate iron containing foods. Half of the households (50%) washed their hands and 11.2% households did not wash and in some households (38.8%) somebody washed their hands by soap or ash before eating or after coming from toilet. In this study educational level (P=0.000) was statistically significant with nutritional status at 1% level of significance. Washing hand before eating and after coming from toilet (P=0.014) were statistically significant with nutritional status at 5% level of significant. And occupation (P=0.082), using shoe or slipper at toilet or dirty places (P=0.050) were statistically significant at 10% level of significance. And for other variables there were no association.

  Garo, Households, BMI, Nutritional, Status, Diversity, Dietary
  Modhupur Upazilla in Tangail District, Bangladesh
  00-07-2012
  00-12-2012
  Food Safety and Security
  Nutrition

To study the household dietary diversity, food security situation and nutritional status among the selected tribal households of MadhupurUpazilla of Tangail District, Bangladesh.

  •  To study the socioeconomic condition of the selected tribal households.
  • To study the hygienic condition of the selected tribal households.
  • To study the food production pattern of the households.
  • To study the food purchase pattern of the households.
  • To study the dietary diversity of the selected household

3.2. Basis for selection of study place ? Well communicated. ? Assurance from the authority for full co-operation. ? Not so far from the Tangail city.

The study was conducted from July 2012 to December 2012. During this period standard questionnaire development, data entry & analysis and final report writing were completed.

A standard questionnaire was developed to collect required data on the 98 households. The questionnaire included the biographic, socioeconomic, hygienic, food access and dietary diversity information. It captured data on specific variables, including age, gender, religion, height, weight, BMI, marital status, having children, number of children, family member, educational background, occupation, earning person, total income, total expenditure, total saving, house quality, lighting system in the house, kitchen room, cooking fuel, cooking water, separate bathroom, using shoes at all time or at toilet or dirty place, washing hand, cutting nail, taking bath, area of the land, agricultural land, vegetables production, fruits production, having livestock animal, having pond, cultivation of fish in the pond, place of buying food, times of buying food, taking of meals by adults and children per day. The biographic information gathered, was important to understanding the backgrounds of the respondents. For household dietary diversity we used 24 hour recall method.

A pilot study to test and evaluate the ease of content, wording and expression, the topical sequence of questions and duration of interview and the reliability, suitability, clarity and value of the measuring instruments, was conducted among 10 households of Pirgacha village of Modhupur in Tangail district two weeks prior to the actual field work.. After pretest, the individual questionnaire which were related for quantitative data collection were improved and reformed to ensure content coverage, the reliability and validity of the study.

 Data collection Questionnaire was asked passively and cautiously not to influence the respondents.

 3.7.4. Food production information In order to estimate the food production information questionnaire was filled by asking the respondents about agricultural land, vegetables production, fruits production, having livestock animals, having pond and cultivation of fish in the pond. 3.7.5. Food purchasing information For food purchasing information questionnaire was filled by asking the respondents about place of buying foods, times of buying foods etc. 3.7.6. Collection of dietary information For evaluating dietary diversity 24 hour recall method was used. Along with this dietary information other information say- how frequently they intake the foods, commonly eating food, eating of snacks, times of eating snack, snack types, eating of foods outside home, lunch box for won and husband when going to work, lunch box for children when going to school also collected.

Data verification Questionnaires were checked each day after interviewing and again these were carefully checked after completion of all data collection and coded before entering into the computer. The data was edited if there was any discrepancy (doubt entry, wrong entry etc). 3.9. Statistical analysis All of the statistical analysis and all other data processing were done by using SPSS 16.0 windows program. For tabular, charts and graphical representation, Microsoft Word and Microsoft Excel were used.

 

  International Journal of Scientific & Engineering Research Volume 8, Issue 9, September-2017 1364 ISSN 2229-5518
  
Funding Source:
1.   Budget:  
  

In this cross-sectional study all of the 98 respondents were Garo and Koch. Among them 72 respondents were Garo who were Christian and 26 respondents were Koch who were Hindu.. Among them 27.6% of the respondents were male and 72.4% were female. The BMI was normal for 85.7% respondents, underweight for 8.2% respondents and overweight for 6.1% respondents. Around 9.2% households had one earning person, 51% had two earning persons, 36.7% had three earning persons and 3.1% had four earning persons. More than half 68.4% households had agricultural land and 31.6% households did not have any land. Among them 71.4% households produced vegetables and 27.6% households did not produce any vegetables. 79.6% households produced fruits and 19.4% did not produce fruits. 80.6% households had livestock animal and 19.4% did not had. Small amount of households (22.4%) had pond and majority households (77.6%) did not have any pond. Among the households 86.36% households who had pond cultivate fish and others (13.64%) did not cultivate in their ponds. Among the all households majority households (67.3%) bought their foods from local shop, 28.6% households bought from market and 4.1% households bought their foods from both local shop and market. All of the respondents (100%) ate rice, 91% ate seasonal vegetables, 75% ate seasonal green leafy vegetables, 67% ate seasonal fruits, About 27.55%, 53%, 69%, 58%, 32%, 67% and 82% households ate beef, mutton, poultry, egg, milk, pulses and fish respectively. They also ate pork, frog and crab. 97.96% households ate vitamin-A containing foods. Among them 96.94% households ate vitamin-A containing foods from plant sources and 88.78% ate from animal sources. 91.84% households ate iron containing foods.

  Journal
  


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